Show simple item record

dc.contributor.authorSoldevila Coma, Adrià
dc.contributor.authorBlesa Izquierdo, Joaquim
dc.contributor.authorTornil Sin, Sebastián
dc.contributor.authorFernández Canti, Rosa M.
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.identifier.citationSoldevila, A. [et al.]. Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection. "Computers & chemical engineering", 4 Gener 2018, vol. 108, núm. 4 January 2018, p. 152-162.
dc.description.abstractThis paper presents a sensor placement approach for classifier-based leak localization in water distribution networks. The proposed method is based on a hybrid feature selection algorithm that combines the use of a filter based on relevancy and redundancy with a wrapper based on genetic algorithms. This algorithm is applied to data generated by hydraulic simulation of the considered water distribution network and it determines the optimal location of a prespecified number of pressure sensors to be used by a leak localization method based on pressure models and classifiers proposed in previous works by the authors. The method is applied to a small-size simplified network (Hanoi) to better analyze its computational performance and to a medium-size network (Limassol) to demonstrate its applicability to larger real-size networks.
dc.format.extent11 p.
dc.publisherPergamon Press
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshAutomatic control
dc.subject.otherSensor placement
dc.subject.otherLeak localization
dc.subject.otherWater distribution networks
dc.subject.otherFeature selection
dc.subject.otherGenetic algorithms
dc.titleSensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection
dc.subject.lemacControl automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.authorSoldevila, A.; Blesa, J.; Tornil-Sin, S.; Rosa M. Fernandez-Canti; Puig, V.
local.citation.publicationNameComputers & chemical engineering
local.citation.number4 January 2018

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain